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Background Inequities in guideline-concordant treatment receipt contribute to worse survival in Black patients with breast cancer. Inequity-reduction interventions (eg, navigation, bias training, tracking dashboards) can close such treatment gaps. We simulated the population-level impact of statewide implementation of inequity-reduction interventions on racial breast cancer inequities in North Carolina. Methods Using registry-linked multipayer claims data, we calculated inequities between Black and White patients receiving endocrine therapy (n = 12 033) and chemotherapy (n = 1819). We then built cohort-stratified (endocrine therapy and chemotherapy) and race-stratified Markov models to simulate the potential increase in the proportion of patients receiving endocrine therapy or chemotherapy and subsequent improvements in breast cancer outcomes if inequity-reducing intervention were implemented statewide. We report uncertainty bounds representing 95% of simulation results. Results In total, 75.6% and 72.1% of Black patients received endocrine therapy and chemotherapy, respectively, over the 2006-2015 and 2004-2015 periods (vs 79.3% and 78.9% of White patients, respectively). Inequity-reduction interventions could increase endocrine therapy and chemotherapy receipt among Black patients to 89.9% (85.3%, 94.6%) and 85.7% (80.7%, 90.9%). Such interventions could also decrease 5-year and 10-year breast cancer mortality gaps from 3.4 to 3.2 (3.0, 3.3) and from 6.7 to 6.1 (5.9, 6.4) percentage points in the endocrine therapy cohorts and from 8.6 to 8.1 (7.7, 8.4) and from 8.2 to 7.8 (7.3, 8.1) percentage points in the chemotherapy cohorts. Conclusions Inequity-focused interventions could improve cancer outcomes for Black patients, but they would not fully close the racial breast cancer mortality gap. Addressing other inequities along the cancer continuum (eg, screening, pre- and postdiagnosis risk factors) is required to achieve full equity in breast cancer outcomes. [ABSTRACT FROM AUTHOR]

Background: Treatment delays affect breast cancer survival and constitute poor‐quality care. Black patients experience more treatment delay, but the relationship of geography to these disparities is poorly understood. Methods: We studied a population‐based, retrospective, observational cohort of patients with breast cancer in North Carolina between 2004 and 2017 from the Cancer Information and Population Health Resource, which links cancer registry and sociodemographic data to multipayer insurance claims. We included patients >18 years with Stage I–III breast cancer who received surgery or chemotherapy as their first treatment. Delay was defined as >60 days from diagnosis to first treatment. Counties were aggregated into nine Area Health Education Center regions. Race was dichotomized as Black versus non‐Black. Results: Among 32,626 patients, 6190 (19.0%) were Black. Black patients were more likely to experience treatment delay >60 days (15.0% of Black vs. 8.0% of non‐Black). Using race‐stratified modified Poisson regression, age‐adjusted relative risk of delay in the highest risk region was approximately twice that in the lowest risk region among Black (relative risk, 2.1; 95% CI, 1.6–2.6) and non‐Black patients (relative risk, 1.9; 95% CI, 1.5–2.3). Adjustment for clinical and sociodemographic features only slightly attenuated interregion differences. The magnitude of the racial gap in treatment delay varied by region, from 0.0% to 9.4%. Conclusions: Geographic region was significantly associated with risk of treatment delays for both Black and non‐Black patients. The magnitude of racial disparities in treatment delay varied markedly between regions. Future studies should consider both high‐risk geographic regions and high‐risk patient groups for intervention to prevent delays. This study found that geographic region was significantly associated with risk of cancer treatment delays for both Black and non‐Black patients, but the magnitude of racial disparities in treatment delay varied markedly between regions. Future studies should consider both high‐risk geographic regions and high‐risk patient groups for targeted intervention to prevent delays in cancer treatment. [ABSTRACT FROM AUTHOR]

PURPOSE New therapies including oral anticancer agents (OAAs) have improved outcomes for patients with metastatic renal cell carcinoma (mRCC). However, little is known about the quality of end-of-life (EOL) care and systemic therapy use at EOL in patients receiving OAAs or with mRCC. METHODS We retrospectively analyzed EOL care for decedents with mRCC in two parallel cohorts: (1) patients (RCC diagnosed 2004-2015) from the University of North Carolina's Cancer Information and Population Health Resource (CIPHR) and (2) patients (diagnosed 2007-2015) from SEER-Medicare. We assessed hospice use in the last 30 days of life and existing measures of poor-quality EOL care: systemic therapy, hospital admission, intensive care unit admission, and.1 ED visit in the last 30 days of life; hospice initiation in the last 3 days of life; and in-hospital death. Associations between OAA use, patient and provider characteristics, and EOL care were examined using multivariable logistic regression. RESULTS We identified 410 decedents in the CIPHR cohort (53.4% received OAA) and 1,508 in SEER-Medicare (43.5% received OAA). Prior OAA use was associated with increased systemic therapy in the last 30 days of life in both cohorts (CIPHR: 26.5% v 11.0%; P < .001; SEER-Medicare: 23.4% v 11.7%; P < .001), increased inhospital death in CIPHR, and increased hospice in the last 30 days in SEER-Medicare. Older patients were less likely to receive systemic therapy or be admitted in the last 30 days or die in hospital. CONCLUSION Patients with mRCC who received OAAs and younger patients experienced more aggressive EOL care, suggesting opportunities to optimize high-quality EOL care in these groups. [ABSTRACT FROM AUTHOR]

Oral anticancer agents (OAAs) could improve survival and reduce disparities for medically underserved patients. We evaluated characteristics associated with mortality among a population-based multi-payer cohort of metastatic renal cell carcinoma (mRCC) patients who initiated OAAs. Frailty, de novo metastatic diagnosis, and Medicare were associated with mortality. These real-world data underscore the importance of access to high-quality care for resource-limited patients. Purpose: In an era of rapid expansion of FDA approvals for oral anticancer agents (OAAs), it is important to understand the factors associated with survival among real-world populations, which include groups not well-represented in pivotal clinical trials of OAAs, such as the elderly, racial minorities, and medically complex patients. Our objective was to evaluate patient- and provider-level characteristics' associations with mortality among a multi-payer cohort of metastatic renal cell carcinoma (mRCC) patients who initiated OAAs. Methods: This retrospective cohort study was conducted using data from the North Carolina state cancer registry linked to multi-payer claims data for the years 2004 to 2015. Provider data were obtained from North Carolina Health Professions Data System and the National Plan & Provider Enumeration System. Included patients were individuals with mRCC who initiated an OAA and survived =90 days after beginning treatment. We estimated hazard ratios (HR) and corresponding 95% confidence limits (CL) using Cox hazard models for associations between patient demographics, patient clinical characteristics, provider-level factors, and 2-year all-cause mortality. Results: The cohort included 207 patients with mRCC who received OAAs. In multivariable models, clinical variables such as frailty (HR: 1.36, 95% CL: 1.11-1.67) and de novo metastatic diagnosis (HR: 2.63, 95%CL: 1.67-4.16) were associated with higher all-cause mortality. Additionally, patients solely on Medicare had higher adjusted all-cause mortality compared with patients with any private insurance (HR: 2.35, 95% CL: 1.32-4.18). No provider-level covariates investigated were associated with all-cause mortality. Conclusions: Within a real-world population of mRCC patients taking OAAs, survival differed based on patient characteristics. In an era of rapid expansion of FDA approvals for OAAs, these real-world data underscore the continued importance of access to high-quality care, particularly for medically complex patients with limited resources. [ABSTRACT FROM AUTHOR]

Surgical excision is important for melanoma treatment. Delays in surgical excision after diagnosis of melanoma have been linked to decreased survival in hospital-based cohorts. This study was aimed at quantifying the association between the timeliness of surgical excision and overall survival in patients diagnosed with melanoma in hospital- and non-hospital-based settings, using a retrospective cohort study of patients with stage 0–III melanoma and using data linked between the North Carolina Central Cancer Registry to Medicare, Medicaid, and private health insurance plan claims across the state. We identified 6,496 patients diagnosed between 2004 and 2012 with follow-up through 2017. We categorized the time from diagnostic biopsy to surgical excision as < 6 weeks after diagnosis, 6 weeks to 90 days after diagnosis, and > 90 days after melanoma diagnosis. Multivariable Cox regression was used to estimate differences in survival probabilities. Five-year overall survival was lower for those with time to surgery over 90 days (78.6%) compared with those with less than 6 weeks (86%). This difference appeared greater for patients with Stage 1 melanoma. This study was retrospective, included one state, and could not assess melanoma specific mortality. Surgical timeliness may have an effect on overall survival in patients with melanoma. Timely surgery should be encouraged. [ABSTRACT FROM AUTHOR]

Background: Improving oral anticancer agent (OAA) initiation and adherence is the important quality‐of‐care issues, particularly since one fourth of anticancer agents being developed will be administered orally. Our objective was to identify provider‐ and patient‐level characteristics associated with OAA initiation and adherence among individuals with metastatic renal cell carcinoma (mRCC). Methods: We used state cancer registry data linked to multi‐payer claims data to identify patients with mRCC diagnosed in 2004–2015. Provider data were obtained from North Carolina Health Professions Data System and the National Plan & Provider Enumeration System. We estimated risk ratios (RRs) and corresponding 95% confidence limits (CLs) using modified Poisson regression to evaluate factors associated with OAA initiation and adherence. Results: Among the 207 (out of 687) patients who initiated an OAA following mRCC diagnosis and survived 90 days, median proportion of days covered was 0.91. Patients with a modal provider specializing in hematology/medical oncology were much more likely to initiate OAAs than those seen by other specialties. Additionally, patients with a female provider were more likely to initiate OAAs than those with a male provider. Compared to patients treated by providers practicing in both urban and rural areas, patients with providers practicing solely in urban areas were more likely to initiate OAAs, after controlling for patient‐level factors (RR = 1.37; 95% CL: 1.09–1.73). Medicare patients were less likely to be adherent than those with private insurance (RR = 0.61; 95% CL: 0.42–0.87). Conclusions: Our results suggest that provider‐ and patient‐level factors influence OAA initiation in patients with mRCC but only insurance type was associated with adherence. [ABSTRACT FROM AUTHOR]

Hospital visits for drug use-related bacterial and fungal infections have increased alongside overdose deaths. The incidence of mortality from these infections and the comparison to overdose mortality is not established. This cohort study examined mortality outcomes among adults with drug use diagnoses who were insured by public and private plans during 2007 through 2018 in North Carolina. We examined bacterial- and fungal infection-related mortality and overdose mortality using cumulative incidence functions. Among 131,522 people with drug use diagnoses, the median age was 45 years (interquartile range: 31–57), 58% were women and 65% had an opioid use disorder diagnosis. The 1-year incidence of bacterial and fungal infection-associated mortality was progressively higher as age increased (35–49 years: 9 per 10,000 people, 50–64 years: 23 per 10,000, 65+ years: 50 per 10,000 people). Conversely, the 1-year incidence of overdose mortality was markedly lower among older adults compared to those under the age of 65 (18–34 years: 34 deaths per 10,000 people; 35–49 years: 47 per 10,000; 50–64 years: 41 per 10,000; 65+ years: 9 per 10,000). Bacterial and fungal infections and overdose were notable causes of death among adults with drug use diagnoses, and varied by age group. • Bacterial and fungal infections are contributors to drug-related mortality. • Infection mortality was highest among older age groups. • Overdose mortality was highest among younger age groups. [ABSTRACT FROM AUTHOR]

Purpose: Structural racism (SR) is a potential driver of health disparities, but research quantifying its impacts on cancer outcomes has been limited. We aimed to develop a multidimensional county-level SR measure and to examine the association of SR with breast cancer (BC) treatment delays among Black and White patients., Methods: The cohort included 32,095 individuals from the North Carolina Central Cancer Registry with stage I to III BC diagnosed between 2004 and 2017 and linked to multipayer insurance claims from the Cancer Information and Population Health Resource. County-level data were drawn from multiple public sources aggregated in the Robert Wood Johnson County Health Rankings database. Racial gaps in eight social determinants across five domains were quantified at the county level and ranked on a 0-100 minimum-maximum scale. Domain scores were averaged to create a SR Composite Index (SRCI) score. We used multilevel logistic regression with random intercepts and multiple cross-level interaction terms to evaluate the association between county-level SRCI and patient-level treatment delays, adjusting for patient-level characteristics and stratified by race., Results: The SRCI score ranged from 21 to 75 with a median (IQR) of 39.0 (31.8, 45.7). For Black patients, a 10-unit increase in SRCI score was associated with increased odds of delay (Adjusted odds ratios [aOR], 1.25; 95% confidence limits [CL], 1.08 to 1.45). No such association was found for White patients (OR, 1.05; 95% CL, 0.97 to 1.15)., Conclusion: Area-level SR measured by a composite index is associated with higher odds of BC treatment delays among Black, but not White patients. Increasing county-level SR is associated with increasing Black-White disparities in treatment delay. Further research is needed to refine the measurement of SR and to examine its association with other cancer care disparities.

Background: The University of North Carolina at Chapel Hill Lineberger Comprehensive Cancer Center has developed a novel data resource, the Cancer Information and Population Health Resource (CIPHR), for conducting catchment area evaluation and cancer population health research that links the North Carolina Central Cancer Registry (NCCCR) to medical and pharmacy claims data from Medicare, Medicaid, and private plans operating within North Carolina. This study's aim was to describe the CIPHR data and provide examples of potential cohorts available in those data., Methods: We present the underlying populations included in the NCCCR and claims data before linkage and demonstrate estimated sample sizes when these data are linked and commonly used insurance enrollment criteria are applied., Results: Data for the years 2003-2020 are present in CIPHR and include 947 977 cancer cases from the NCCCR and 21.6 million enrollees in public and private health insurance (cancer and noncancer cases). When limited to first or only cancers (n = 672 377), 86% could be linked to insurance enrollment for at least 1 month during 2003-2020 (n = 582 638), with 62% of individuals linking to enrollment during the month of cancer diagnosis. Among all registry cancer cases, 47% (n = 317 898) had continuous insurance enrollment for at least 12 months before and after cancer diagnosis., Conclusion: CIPHR illustrates the utility of establishing and maintaining a statewide, comprehensive cancer population health database. This resource serves to characterize the cancer center catchment area and aids in tracking cancer outcomes and trends in care delivery as well as identifying disparities that require intervention and policy focus., (© The Author(s) 2024. Published by Oxford University Press.)

Background: The American Indian (AI) population in North Carolina has limited access to the Indian Health Service. Consequently, cancer burden and disparities may differ from national estimates. We describe the AI cancer population and examine AI-White disparities in cancer incidence and mortality., Methods: We identified cancer cases diagnosed among adult AI and White populations between 2014 and 2018 from the North Carolina Central Cancer Registry. We estimated incidence and mortality rate ratios (IRR and MRR) by race. In addition, between the AI and White populations, we estimated the ratio of relative frequency differences [RRF, with 95% confidence limits (CL)] of clinical and sociodemographic characteristics. Finally, we evaluated the geographic distribution of incident diagnoses among AI populations., Results: Our analytic sample included 2,161 AI and 204,613 White individuals with cancer. Compared with the White population, the AI population was more likely to live in rural areas (48% vs. 25%; RRF, 1.89; 95% CL, 1.81-1.97) and to have Medicaid (18% vs. 7%; RRF, 2.49; 95% CL, 2.27-2.71). Among the AI population, the highest age-standardized incidence rates were female breast, followed by prostate and lung and bronchus. Liver cancer incidence was significantly higher among the AI population than White population (IRR, 1.27; 95% CL, 1.01-1.59). AI patients had higher mortality rates for prostate (MRR, 1.72; CL, 1.09-2.70), stomach (MRR, 1.82; 95% CL, 1.15-2.86), and liver (MRR, 1.70; 95% CL, 1.25-2.33) cancers compared with White patients., Conclusions: To reduce prostate, stomach, and liver cancer disparities among AI populations in North Carolina, multi-modal interventions targeting risk factors and increasing screening and treatment are needed., Impact: This study identifies cancer disparities that can inform targeted interventions to improve outcomes among AI populations in North Carolina., (©2024 American Association for Cancer Research.)

Background: Previous studies of hospital-based patients with metastatic melanoma suggest sociodemographic factors, including insurance type, may be associated with the receipt of systemic treatments., Objectives: To examine whether insurance type is associated with the receipt of systemic treatment among patients with melanoma in a broad cohort of patients in North Carolina., Methods: We conducted a retrospective cohort study between 2011 and 2017 of patients with stages III-IV melanoma using data from the North Carolina Central Cancer Registry linked to Medicare, Medicaid, and private health insurance claims across the state. The primary outcome was the receipt of any systemic treatment, and the secondary outcome was the receipt of immunotherapy., Results: A total of 372 patients met the inclusion criteria. The average age was 68 years old (interquartile range: 56-76) and 61% were male. Within the cohort 48% had Medicare only, 29% had private insurance, 12% had both Medicare and Medicaid, and 11% had Medicaid only. A total of 186 (50%) patients received systemic treatment for melanoma, 125 (67%) of whom received immunotherapy. The use of systemic therapy, including immunotherapy, increased significantly over time. Having Medicaid-only insurance was independently associated with a 45% lower likelihood of receiving any systemic treatment [0.55 (95% CI: 0.35, 0.85)] and a 43% lower likelihood of receipt of immunotherapy [0.57 (95% CI: 0.34, 0.95)] compared with private insurance., Conclusions: Stage III-IV melanoma patients with Medicaid-only insurance were less likely to receive systemic therapy or immunotherapy than patients with private insurance or Medicare insurance. This finding raises concerns about insurance-based disparities in treatment access., Competing Interests: A.S.A. is supported by the Dermatology Foundation Public Health Career Development Award, by the National Institutes of Health under grant NIH UL1 TR002645, and by the American Cancer Society. The remaining authors declare no conflict of interest., (Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.)